In this pdf we come to know How Artificial Intelligence (AI) use in Cybersecurity

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How Artificial Intelligence (AI) use
in Cybersecurity: Prevent
Hacking in 2022
 September 1, 2022  Mukul Shokeen  1 Comment  Cybersecurity
Pic credit: Techopedia
Identity and Access Management (IAM) is much more complex
today than it was in the early days of the Internet.
For starters, we have a variety of account types: “User”, “Guest”,
“Admin”, and “Service” accounts with associated passwords that
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Table of Contents
1. How can AI jeopardize (compromise) cybersecurity?
2. How AI can boost cybersecurity
3. Conclusion
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2. require regular managed changes to protect different systems.
Creating passwords has also become much more complicated: you
need at least eight characters, one uppercase letter, one
lowercase letter, one number, and special characters. Additionally,
personal identification numbers (PINs), two-factor authentication
(2FA), multi-factor authentication (MFA), biometrics, software and
hardware tokens, card readers, proximity sensors and photo IDs
are part of our personal access and identification profiles. . .
With all these tools to manage who has access to what data and
under what circumstances, cyberattacks should be a thing of the
past. Right? Not right.
Cybercriminals’ methods have evolved as cybersecurity standards
have changed – and they now use artificial intelligence (AI) and
machine learning (ML) to hack into your accounts.
Here’s how and what you can do about it:
How can AI jeopardize
(compromise) cybersecurity?
Even the most sophisticated hacking tools require human
intelligence to target potential victims. This is where the AI ​
​
comes
into play.
With the help of AI, cybercriminals can remain inactive and
undetected on an organization’s network for long periods of time,
creating backdoors into an organization’s critical infrastructure
during that time. Once ready to launch an enterprise-wide attack,
they can monitor meetings, extract data, distribute malware,
create privileged accounts to access and/or access other systems,
or install ransomware.
AI is a particularly effective tool for cybercriminals because it can
learn and predict what is happening now and what might happen
in the future.
Some of the main methods used by cybercriminals to hack
corporate networks with AI are:
Creation of deepfake data.
Build better malware.
surprise attack.
AI-assisted password guessing and captcha cracking.
Generative Adversary Network (GAN)
Human identity on social media platforms.
Arming AI frameworks to hack vulnerable hosts.
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3. Deep performance.
ML compatible penetration test devices.
According to Malwarebytes, there has recently been an increase in
cyberattacks where hackers use AI and ML to hide behind an
organization’s website or infrastructure. Therefore, to stay safe
and stay in business, organizations need to fight fires and use AI
and ML to keep their networks secure.
How AI can boost cybersecurity
According to Mimecast, the global AI cybersecurity technology
market is expected to grow at a compound growth rate of 23.6%
through 2027, when it is expected to reach $46.3 billion.
AI and ML-powered systems like Security Event Management
(SEM), Security Information Management (SIM), and Security
Information and Event Management (SIEM) enable security teams
to detect quickly to threats and react quickly to incidents. When AI
detects malicious activity on a specific IP address or device, it can
automatically and instantly block access to user files.
Here are some of the top ways organizations are using AI to
defend against cyberattacks:
Detection of threats and anomalies.
Identity analysis and fraud detection.
Compliance and privacy risk management.
Removal of bots.
Research and classification of data.
Detection of wound and attack simulation properties.
Policy automation.
Security system.
behavioral analysis.
While AI can be a powerful tool to bolster cybersecurity initiatives,
it does not replace traditional security approaches. In fact, it works
best when used alongside traditional methods: combining AI with
authentication, biometric technology, and/or MFA can improve an
organization’s security. An example of this could be the
implementation of password managers: they automate the
creation, updating and advice on the strength of the chosen
password.
Combining AI with strong, well-thought-out cybersecurity practices
and security-by-design methodologies like Zero Trust is the best
way to bolster your organization’s cybersecurity toolkit.
How
Artificia
l
Intellig
ence
(AI) use in Cybersecurity:
Prevent Hacking in 2022
 September 1, 2022  1

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Conclusion
AI and ML are powerful tools and are changing the way businesses
do everything, including network security management. Therefore,
security and risk management professionals need to understand
the evolving situation and best practices in order to leverage them
to improve the IAM architecture.
Also read: Top 10 artificial Intelligence solution
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